Senior Data Engineer (Fintech & Payments)

Senior Data Engineer (Payments & FinTech)

Location: Hybrid - 1-2 days a week in London

Salary: £80-90k + 10% Bonus

Job Type: Permanent

Sponsorship: Not Available

Role Summary:

We are looking for a Senior Data Engineer to support a multi-system, multi-client, company-wide migration. In this role, you will work closely with owners of legacy platforms to understand their data, then design and build the queries and processes required to migrate it into a new environment. As migration work concludes, the role will transition into leveraging Airflow and other tooling to automate operational and financial processes. This position requires a highly collaborative individual, as you will work closely with engineers and stakeholders across multiple teams.

Key Responsibilities:

Collaborate with engineers across legacy systems to understand available data and its structure.
Design queries and scripts to extract, transform, and migrate data into new platforms.
Partner with senior data leadership to define cold-storage solutions for regulatory data retention.
Work with solution architects to design migration-day data processes for partner onboarding.
Build and maintain ETL pipelines and workflow automation using Snowflake and Apache Airflow.
Document processes, learnings, and development work using version control best practices.
Implement robust data quality checks and reconciliation processes throughout pipelines.
Collaborate with platform and infrastructure teams on security, access control, and secrets management.

Required Qualifications:

5+ years' experience in data engineering, analytics engineering, or backend engineering with strong ownership of data pipelines.
Proven experience in stakeholder-heavy environments, working cross-functionally.
Strong communication skills, with the ability to translate technical concepts to non-technical audiences.
Hands-on experience building and managing production workflows in Apache Airflow.
Experience delivering production-grade transformations in dbt, including testing and documentation.
Advanced SQL skills across multiple dialects.
Strong understanding of data modelling and warehousing concepts (e.g., fact/dimension models, SCDs, incremental loads).
Experience with Git-based workflows, code reviews, and CI/CD practices.

Preferred Qualifications:

Experience with Azure cloud services.
Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis).
Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes).
Understanding of data governance, lineage, cataloguing, and security best practices.
Previous experience working with SQL Server.
Familiarity with Snowflake and/or PostgreSQL.
Proactive, self-starter mindset with a strong "go-getter" attitude
Excellent communication skills, able to engage and influence both technical and non-technical stakeholders
Strong investigative and problem-solving abilities, with a hands-on approach to uncovering and understanding complex data landscapes
Comfortable working across multiple legacy platforms, collaborating closely with engineering teams
Ability to design and shape effective data migration strategies through cross-functional collaboration